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Lecture notes in computer science

On-Line/Off-Line Leakage Resilient Secure Computation Protocols

Chaya Ganesh, Vipul Goyal, Satya Lokam

Published Jan 1, 2012• 1 citation
Publisher
DOI
10.1007/978-3-642-34931-7_7

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Leakage-Resilient Data Transmission Protocol With Multi-Receiver for Internet of Things

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The Internet of Things (IoT) is transforming lives, making daily tasks more convenient and efficient than ever before. However, the true potential of IoT can only be realized if its nodes interact with robust security, ensuring that sensitive data and personal information remain protected. While many data transmission protocols have been proposed in recent years, most fail to deliver on their security promises in real-world scenarios. Adversaries can exploit vulnerabilities through sophisticated leakage attacks such as side channel attacks or cold boot attacks to compromise encryption keys and undermine system integrity. Without advanced, resilient protocols, the promise of IoT is put at serious risk. In addition, the corresponding protocols deployed in IoT should enjoy high computational efficiency, because the mobile terminals have weak computing power. Also, from the viewpoint of actual application, the proposed data transmission protocol should have wider universality and can be used in multiple scenarios of IoT. Therefore, to further address the above problems, we propose a general construction of a leakage-resilient data transmission protocol with multi-receiver from an identity-based hash proof system (IB-HPS) and identity-based signature (IBS) scheme. For our proposal, the unforgeability, anonymity, and confidentiality can be proved based on the security of the underlying cryptography tools. Compared with the existing protocols, our proposal has better performance, such as dynamic anonymity, leakage resilience, traceability, etc. Furthermore, to guarantee the highest levels of security and efficiency, we have developed a novel IB-HPS construction that offers continuous leakage resilience and perfect key updates. Alongside this, our new leakage-resilient IBS scheme delivers the computational efficiency essential for practical deployment in IoT networks, ensuring that security enhancements do not come at the expense of performance. Both performance analysis and security analysis show that our data transmission protocol is secure, efficient, and highly practical.

IEEE Transactions on Dependable and Secure Computing•Nov 14, 2025•0 citations
We study the question of designing leakage-resilient secure computation protocols. Our model is that of only computation leaks information with a leak-free input encoding phase. In more detail, we assume an offline phase called the input encoding phase in which each party encodes its input in a specified format. This phase is assumed to be free of any leakage and may or may not depend upon the function that needs to be jointly computed by the parties. Then finally, we have a secure computation phase in which the parties exchange messages with each other. In this phase, the adversary gets access to a leakage oracle which allows it to download a function of the computation transcript produced by an honest party to compute the next outgoing message.
In leakage resilient cryptography, leakage resilient key exchange protocols are constructed to defend against leakage attacks. Then, the key exchange protocol is proved with leakage resilient security model to determine whether its security proof can provide the security properties it claimed or to find out any unexamined flaw during protocol building. It is an interesting work to review the meaningful security properties provided by these security models. This work review how a leakage resilient security model for a key exchange protocol has been evolved over years according to the increasing security requirement which covers a different range of attacks. The relationship on how an adversary capability in the leakage resilient security model can be related to real-world attack scenarios is studied. The analysis work for each leakage resilient security model here enables a better knowledge on how an adversary query addresses different leakage attacks setting, thereby understand the motive of design for a cryptographic primitive in the security model.
The Internet of Things (IoT) is transforming lives, making daily tasks more convenient and efficient than ever before. However, the true potential of IoT can only be realized if its nodes interact with robust security, ensuring that sensitive data and personal information remain protected. While many data transmission protocols have been proposed in recent years, most fail to deliver on their security promises in real-world scenarios. Adversaries can exploit vulnerabilities through sophisticated leakage attacks such as side channel attacks or cold boot attacks to compromise encryption keys and undermine system integrity. Without advanced, resilient protocols, the promise of IoT is put at serious risk. In addition, the corresponding protocols deployed in IoT should enjoy high computational efficiency, because the mobile terminals have weak computing power. Also, from the viewpoint of actual application, the proposed data transmission protocol should have wider universality and can be used in multiple scenarios of IoT. Therefore, to further address the above problems, we propose a general construction of a leakage-resilient data transmission protocol with multi-receiver from an identity-based hash proof system (IB-HPS) and identity-based signature (IBS) scheme. For our proposal, the unforgeability, anonymity, and confidentiality can be proved based on the security of the underlying cryptography tools. Compared with the existing protocols, our proposal has better performance, such as dynamic anonymity, leakage resilience, traceability, etc. Furthermore, to guarantee the highest levels of security and efficiency, we have developed a novel IB-HPS construction that offers continuous leakage resilience and perfect key updates. Alongside this, our new leakage-resilient IBS scheme delivers the computational efficiency essential for practical deployment in IoT networks, ensuring that security enhancements do not come at the expense of performance. Both performance analysis and security analysis show that our data transmission protocol is secure, efficient, and highly practical.